Influencing Opinions through False Online Information : A Study

Authors

  • Baldev Singh  Department of Computer Science and Information Technology, Lyallpur Khalsa College, Jalandhar, India

DOI:

https://doi.org//10.32628/CSEIT1952101

Keywords:

Fake News, Tweets, Data Mining, False Information Detection Algorithms

Abstract

Online Social media generates lot of information now-a-days. It is not legitimate information so there are the chances of fake and false information produced using social media. It is very alarming that majority of the people getting news from social media which is very much prone to false information in comparison to traditional news media which is very dangerous to the society. One of the primary reasons to influence opinion through false information is to earn money, name or fame. In this study, the focus is on to highlight false information generated through fake reviews, fake news and hoaxes based on web & social media. It summarized various False information spreading Mechanisms, False Information Detection Algorithms, Mining Techniques for Online False Information to detect and prevent false online information.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Baldev Singh, " Influencing Opinions through False Online Information : A Study, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.443-449, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952101